Methods and apparatus to create a panel of media device users

ABSTRACT

Methods and apparatus to create a panel of media device users are disclosed. An example method includes instructing, from a central facility, a media provider to instrument an application with monitoring instructions. A unique identifier and an application identifier are received from a media device executing the monitoring instructions. A master frame corresponding to media devices that have executed the monitoring instructions is created. A skip rate representing a rate at which media devices in the master frame are to be selected to join the panel is determined. The media device is selected from the master frame based on a random value and the skip rate. The monitoring instructions associated with the selected media device are instructed to display a recruitment interface to a user associated with the selected media device requesting the user to join the panel.

RELATED APPLICATION

This patent arises from a continuation of U.S. patent application Ser.No. 14/145,452, which was filed on Dec. 31, 2013, and was entitled“METHODS AND APPARATUS TO CREATE A PANEL OF MEDIA DEVICE USERS”, whichclaims priority from U.S. Provisional Patent Application Ser. No.61/815,597 which was filed on Apr. 24, 2013. U.S. patent applicationSer. No. 14/145,452 and U.S. Provisional Patent Application Ser. No.61/815,597 are hereby incorporated herein by reference in theirentireties.

FIELD OF THE DISCLOSURE

This disclosure relates generally to audience measurement, and, moreparticularly, to methods and apparatus to create a panel of media deviceusers.

BACKGROUND

In recent years, consumer devices have been provided with Internetconnectivity and the ability to retrieve media from the Internet. Assuch, media exposure has shifted away from sole reliance on traditionalmethods of media access, such as broadcast television, towards accessingmedia via consumer devices accessing the Internet.

Media providers and/or other entities such as, for example, advertisingcompanies, broadcast networks, etc. are often interested in the viewing,listening, and/or media behavior of audience members and/or the publicin general. To monitor these behaviors, an audience measurement companymay enlist panelists (e.g., persons agreeing to be monitored) tocooperate in an audience measurement study. The media usage and/orexposure habits of these panelists as well as demographic data about thepanelists is collected and used to statistically determine the size anddemographics of a larger audience of interest.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a block diagram illustrating an example system constructed inaccordance with the teachings of this disclosure to monitor mediapresentations.

FIG. 2 is a block diagram of an example implementation of the exampleinstrumented application of FIG. 1.

FIG. 3 is an example recruitment interface that may be displayed by theinstrumented application of FIGS. 1 and/or 2.

FIG. 4 is an example demographic information collection interface.

FIG. 5 is an example table 500 representative of unique identifiersstored in association with application identifiers.

FIG. 6 is an example table 600 representative of recruitment informationstored in association with a unique identifier.

FIG. 7 is an example table 700 representative of a unique identifierstored in association with a test cell.

FIG. 8 is an example table 800 representative of test cell informationthat may be stored by the central facility of FIG. 1.

FIG. 9 is a flowchart representative of example machine-readableinstructions that may be executed to implement the example instrumentedapplication of FIGS. 1 and/or 2.

FIG. 10 is a flowchart representative of example machine-readableinstructions that may be executed to implement the example instrumentedapplication of FIGS. 1 and/or 2.

FIG. 11 is a flowchart representative of example machine-readableinstructions that may be executed to implement the example centralfacility of FIG. 1.

FIG. 12 is a flowchart representative of example machine-readableinstructions that may be executed to implement the example centralfacility of FIG. 1.

FIG. 13 is a flowchart representative of example machine-readableinstructions that may be executed to implement the example centralfacility of FIG. 1.

FIG. 14 is a flowchart representative of example machine-readableinstructions that may be executed to implement the example centralfacility of FIG. 1.

FIG. 15 is a block diagram of an example processor platform capable ofexecuting the example machine-readable instructions of FIGS. 9, 10, 11,12, 13, and/or 14 to implement the example instrumented application ofFIGS. 1 and/or 2, and/or the example central facility of FIG. 1.

The figures are not to scale. Wherever appropriate, the same referencenumbers will be used throughout the drawing(s) and accompanying writtendescription to refer to the same or like parts.

DETAILED DESCRIPTION

Monitoring companies desire knowledge on how users interact with mediadevices such as smartphones, tablets, laptops, smart televisions, etc.In particular, media monitoring companies want to monitor mediapresentations made at the media devices to, among other things, monitorexposure to advertisements, determine advertisement effectiveness,determine user behavior, identify purchasing behavior associated withvarious demographics, etc.

As used herein, the term “media” includes any type of content and/oradvertisement delivered via any type of distribution medium. Thus mediaincludes television programming or advertisements, radio programming oradvertisements, movies, web sites, streaming media, etc. Examplemethods, apparatus, and articles of manufacture disclosed herein monitormedia presentations at media devices. Such media devices may include,for example, Internet-enabled televisions, personal computers,Internet-enabled mobile handsets (e.g., a smartphone), video gameconsoles (e.g., Xbox®, PlayStation®), tablet computers (e.g., an iPad®),digital media players (e.g., a Roku® media player, a Slingbox®, etc.),etc. In some examples, media monitoring information is aggregated todetermine ownership and/or usage statistics of media devices, relativerankings of usage and/or ownership of media devices, types of uses ofmedia devices (e.g., whether a device is used for browsing the Internet,streaming media from the Internet, etc.), and/or other types of mediadevice information. In examples disclosed herein, monitoring informationincludes, but is not limited to, media identifying information (e.g.,media-identifying metadata, codes, signatures, watermarks, and/or otherinformation that may be used to identify presented media), applicationusage information (e.g., an identifier of an application, a time and/orduration of use of the application, a rating of the application, etc.),and/or user-identifying information (e.g., demographic information, auser identifier, a panelist identifier, a username, etc.).

Media devices such as tablet computers (e.g., an Apple iPad®, an AsusTransformer™, etc.) present media using applications (sometimes referredto as “apps”) that access, retrieve, request, and/or present media(e.g., Internet media). Combining portability and ease of use withhigh-speed Internet capabilities and large screen sizes, tablets aregood devices for watching media (e.g., video). Apple iPads® have some ofthe highest penetration in the tablet market, and a large and growingnumber of apps have been developed for the Apple iPad®. Many U.S.households own one or more Apple iPads®. By 2015, it is expected thatover one-third of US Internet users will own an Apple iPad® and be ableto stream video on it. Tablet ownership is not only growing in numbers,but also in demographic coverage, narrowing the age gap in mediaconsumption. By some estimates, 36% of people aged 35-54 and 44% ofpeople aged 55-64 use their tablets while watching TV. Tablets have alsobecome loyal babysitters, playmates, teachers, and toys. Children intablet-owning households use media devices such as an iPad® to watch TVshows and movies. Many different “Apps” exist and can be downloaded byusers through app stores such as, for example, Apple iTunes®, GooglePlay®, etc. Hundreds, if not thousands, of apps are available in the appstores that enable presentation of media. Examples of such applicationsinclude, but are not limited to, Hulu®, Netflix®, HBO Go®, etc.

Operating systems used on media devices are often closed platforms. Thatis, the operating systems provide a limited set of functions thatapplications executed by the media device can access via, for example,an Application Programming Interface (API). In some operating systems,only a single application is executed at one time. When the media deviceexecutes the app, the app is typically run in a “sand-box.” That is, theapp is not allowed to communicate with other apps executed by the mediadevice. In some examples, apps have access to a limited set offunctionality for sharing data with other apps. For example,applications executed on the iOS operating system have access to a“pasteboard” that allows applications to share information.

Because communicating with applications to identify and/or monitor mediapresentation events on devices using a “sandbox” approach is difficult,in examples disclosed herein monitoring is enabled by adding monitoringcapability to applications. In examples disclosed herein, a softwaredevelopment kit (SDK) is provided to application developers from, forexample, an audience measurement entity. The SDK facilitatesinstrumenting and/or otherwise enabling applications (e.g., mediaapplications (such as streaming video applications), news applications,browser applications, image applications, social media applications,games, etc.) with monitoring functionalities which are able to collectand transmit monitoring information to a monitoring entity. Inparticular, the application developers create apps that include mediamonitoring functionality using the SDK. Accordingly, rather than relyingon a dedicated monitoring application installed on a panelist computer(e.g., a tablet, a laptop, a smartphone, etc.), instrumentedapplications disclosed herein are instrumented with instructions suchthat the instrumented applications effectively monitor themselves and/oruser interaction(s) with the instrumented applications. In someexamples, the instrumented application is referred to as a monitoringenabled application. Because the instrumented applications monitorthemselves, the instrumented applications and/or the monitoringfunctionality provided by the SDK enables the instrumented applicationto, for example, request instructions on whether monitoringfunctionality should be enabled, request instructions on whether a usershould be asked if they would like to join a panel, notify the audiencemeasurement entity when an app and/or media associated with the app ispresented, notify the audience measurement entity what media and/orapp(s) is presented, notify the audience measurement entity how the appsand/or media is being presented (e.g., via a tablet display, via atelevision, etc.), notify the audience measurement entity of a durationof exposure of an app and/or media associated with the app, etc.

Consider for example, a media application instrumented with monitoringfunctionality. Assume the instrumented application has been downloadedto a media device (e.g., via purchase in an app store). During operationof the instrumented application, the instrumented application identifieswhether monitoring functionality should be enabled (e.g., based on amonitoring instruction received from an audience measurement entity,based on the user's consent to be monitored, etc.). In examplesdisclosed herein, the instrumented application contacts the monitoringentity to determine whether monitoring should be enabled. In someexamples, the instrumented application checks the shared memory locationon the client device to determine whether monitoring should be enabled.When the instrumented application determines monitoring should beenabled, the instrumented application also retrieves a unique identifier(if present) associated with the media device. The unique identifier isused to associate the media activity of the media device with the userfor audience measurement purposes.

Tablet applications enable new behaviors (e.g., the ability to watchstreaming videos and/or television in different locations) and providethe ability to measure these behaviors. However, constructing arepresentative sample (e.g., a panel) to capture device-driven behaviorsusing cost-effective recruitment techniques is a challenge, given thescarcity of demographic data on this population, as well as the lack ofprior research on recruitment from it.

Example sample constructions and recruitment approaches for building apanel of tablet users that view media via an instrumented application(e.g., an app) are disclosed herein. Monitoring components embedded inthe instrumented application enable creation of a panel, obtaining theirdemographic characteristics, and electronically monitoring the panelistsmedia usage behavior.

Example instrumented applications disclosed herein provide recruitmenttools for targeting users of instrumented applications, and are alsoflexible enough to yield a representative sample. In some such examples,a master frame of devices with one or more instrumented application(s)installed is created. From the master frame, a probability panel iscreated and systematically broken into a number of test cells. As usedherein, a master frame is defined as a list of users and/or devices thathave used and/or executed at least one instrumented application. Inexamples disclosed herein, the master frame includes ten thousand usersand/or devices. However, any number of users and/or devices may beincluded in the master frame. As used herein, a probability panel isdefined to be a subset of the master frame. The probability panelcorresponds to users and/or devices who have been selected to berecruited to become panelists. In examples disclosed herein, theprobability panel includes four thousand and two hundred users and/ordevices. However, any number of users and/or devices may be included inthe probability panel.

The probability panel is broken down into a plurality of test cells. Insome examples disclosed herein, there are six test cells, each includingseven hundred users and/or devices. However, there may be any number oftest cells including any number of users and/or devices. In someexamples, each of the test cells is assigned a different recruitmentprocedure and/or recruitment interface. For example, a first user in afirst test cell may be presented with a first prompt while a second userin a second test cell may be presented with a second prompt differentfrom the first prompt. The different prompts may request differentlevels of detailed panelist information (e.g., demographic information,educational information, financial information, etc.). Ultimately,different test cells may result in different success levels of therecruitment procedure. For example, a first prompt associated with afirst test cell may request very detailed financial information, while asecond prompt associated with a second test cell may not request anyfinancial information. The first prompt may result in fewer users whocomplete the registration process than the second prompt because, forexample, users may be opposed to providing detailed financialinformation. Using multiple test cells enables identification of howmuch detail should be requested from potential panelists during aregistration process.

Recruitment within the probability panel is implemented using aninterface (e.g., a pop-up) generated by the instrumented application.The interface directs interested users to a registration interface(e.g., a website), which collects information that can be used forextrapolating the panel of users to a larger viewing audience. In someexamples, demographic information collection is attempted even for userswho have not been selected to become panelists. Such collection mayfacilitate extrapolation of monitoring information collected inassociation with panelists to a larger population. The monitoringcomponents, recruiting interface, and registration interface interact ina multi-phased process. For example, the monitoring components are notenabled until after the registration interface has been completed.

Example recruitment systems disclosed herein yield a panel large enoughto not only measure new behavior (watching Television and/or streamingvideo on tablets), but also to enable identification of attributes of apopulation, incentive preferences of a population, etc. As disclosedherein, by reaching users directly in the environment where theirbehavior will be measured (e.g., via an instrumented application), theversatility of mobile technology in enabling cross-platform research(e.g., television programs watched on tablets via streaming technology)and in efficiently reaching and measuring previously unidentifiedpopulations is leveraged to improve audience measurements.

In examples disclosed herein, a monitoring entity (e.g., a neutral thirdparty not involved in media delivery such as The Nielsen Company, Inc.)cooperates with providers of media apps to obtain permission to installand/or otherwise incorporate monitoring components into an application(e.g., an instrumented application) prior to placement in the app store(e.g., Apple iTunes, Google Play, etc.). The first time a metered app isdownloaded and launched by the media device, the metering componentscontact a central facility (e.g., a server operated by the monitoringentity); and the media device (e.g., an iPad®) is assigned a uniqueidentifier (ID) that, in some examples, remains fixed for the life ofthe media device. In some examples, the unique identifier may be resetand/or removed from the media device. For example, the unique identifiermay be removed from the collection facility if the instrumentedapplication has not been used in more than a threshold period of time(e.g., one year, six months, etc.). In the illustrated example, theunique identifier is a serial number that is stored in a shared memory(e.g., a pasteboard, a cache, a registry, etc.) of the media device.However, the unique identifier may be formatted and/or stored in anyother manner. For example, the unique identifier may be text data (e.g.,a string of characters), binary data, etc. Unlike an ID that might beassigned by the manufacturer, this unique identifier may be assignedregardless of manufacturer or operating system version, and cannot bechanged by the user. In some examples, the unique identifier may beremoved from the device by, for example, a factory reset. The monitoringcomponents also capture some limited, non-personally identifiableinformation such as device type (iPad®, iPhone®, etc.), operating system(e.g., iOS, android, etc.) version, the instrumented application name,version of the instrumented application, the initial launch date, etc.Lastly, the monitoring components execute an instruction directing it tocontact the central facility on the first launch of the instrumentedapplication after a number of days have passed. However, the instructionmay be based on any other duration and/or condition. For example, themonitoring components may be instructed to contact the central facilityafter the instrumented application has been launched three or moretimes, etc. With each occurrence of an instrumented application beinglaunched for the first time on a device, the instrumented applicationname and version is captured and transmitted to the central facility.

Example monitoring components disclosed herein enable the monitoringentity to assemble a master frame including all media devices that havelaunched at least one instrumented application, and to understand whichinstrumented application(s) are on each media device. In some examples,in order to meet privacy requirements, the instrumented application,when installed, provides a notice indicating that the monitoringcomponents are present in the instrumented application. This notice ispresent in the instrumented application's Terms of Service (or End UserLicense Agreement (EULA)), in the App Store (in the descriptionassociated with the individual app, including a link to a FrequentlyAsked Questions website describing the monitoring components and theiractivities), and/or in the Device settings or App settings.

FIG. 1 is a block diagram of an example environment of use 100 includinga central facility and instrumented application constructed inaccordance with the teachings of this disclosure to facilitate creationof a panel of media device users. The example environment of use 100 ofFIG. 1 includes a media device 130 and a central facility 170. The mediadevice 130 of the illustrated example includes an instrumentedapplication 135, and a data store 150. The example central facility 170of the illustrated example of FIG. 1 includes an HTTP interface 175, aregistration data controller 177, a data store 176, a monitoring datareceiver 179, a panel creator 182, a unique ID generator 186, a softwaredevelopment kit (SDK) provider 188, and a reporter 190. The instrumentedapplication 135 of the illustrated example communicates via a network120 to retrieve media from a media provider 110. Further, theapplication 135 of the illustrated example is instrumented withmonitoring instructions. The monitoring instructions are selectivelyactivated depending on, for example, whether the user is a panelist,whether the user has consented to being monitored, etc. In someexamples, when the monitoring instructions are enabled, the application135 transmits monitoring information to the example central facility170.

The example media provider 110 of the illustrated example of FIG. 1includes one or more servers providing Internet media (e.g., web pages,audio, video, images, etc.). The example media provider 110 of FIG. 1may be implemented by any provider(s) of media such as a digital mediabroadcaster, multicaster, or unicaster (e.g., a cable televisionservice, a fiber-optic television service, an IPTV provider, etc.)and/or an on-demand digital media provider (e.g., an Internet streamingvideo and/or audio services such as Netflix®, YouTube®, Hulu®, Pandora®,Last.fm®, etc.), a web page, and/or any other provider of media.Additionally or alternatively, the example media provider 110 may not bean Internet provider. For example, the media providers may be on aprivate, a virtual private, and/or semi-private network (e.g., a LAN).Example media providers frequently provide applications that arespecific to media that is presented in association with that mediaprovider. For example, a media provider such as Netflix® may provide aNetflix® application to be used on the media device 130. In theillustrated example, the media provider 110 provides media to anapplication executed by a media device such as the media device 130. Inexamples disclosed herein, the media provider 110 and/or an applicationdeveloper instruments the media application with monitoring instructionsprovided as part of an SDK from the central facility 170 of themonitoring entity.

The example app store 112 of the illustrated example of FIG. 1 is theApple iTunes app store. In the illustrated example, the app store 112provides applications (e.g., apps) to users for use on the media device(e.g., an iPad®). While in the illustrated example, the example appstore 112 is the Apple iTunes app store, any other app store and/orrepository of applications/apps may additionally or alternatively beused such as, for example, Google Play, the Windows Phone app store, theUbuntu Software Center, etc.

The example network 120 of the illustrated example of FIG. 1 is a widearea network (WAN) such as the Internet. However, in some examples,local networks may additionally or alternatively be used. For example,multiple networks (e.g., a cellular network, an Ethernet network, etc.)may be utilized to implement the example network 120 of FIG. 1.

The example media device 130 of the illustrated example shown in FIG. 1is a device that retrieves media from the media provider 110. In someexamples, the media device 130 is capable of directly presenting media(e.g., via a display) while, in other examples, the media device 130presents the media on separate media presentation equipment (e.g.,speakers, a display, etc.). Thus, as used herein “media devices” may ormay not be able to present media without assistance from a seconddevice. Media devices are typically consumer electronics. For example,the media device 130 of the illustrated example is a tablet such as anApple iPad®, and thus, is capable of directly presenting media (e.g.,via an integrated display and speakers). While in the illustratedexample, a tablet is shown, any other type(s) and/or number(s) of mediadevice(s) may additionally or alternatively be used. For example,Internet-enabled mobile handsets (e.g., a smartphone, an iPod®, etc.),video game consoles (e.g., Xbox®, PlayStation 3, etc.), tablet computers(e.g., an iPad®, a Motorola™ Xoom™, etc.), digital media players (e.g.,a Roku® media player, a Slingbox®, a Tivo®, etc.), smart televisions,etc. may additionally or alternatively be used.

The instrumented application 135 of the illustrated example of FIG. 1 issoftware downloadable via the Internet. As such, it is implemented ascomputer-readable instructions executing on a hardware logic circuitsuch as a semiconductor based processor of the media device 130. In theillustrated example, the instrumented application 135 is provided by themedia provider 110. However, the instrumented application 135 may beprovided by any other entity. In some examples, the instrumentedapplication is installed on the media device 130 by the user bydownloading the instrumented application 135 from the app store 112(e.g., Apple iTunes, Google play, etc.). The application 135 (e.g., anapp) presents media retrieved from the media provider 110 and/or fromany other Internet location. In examples disclosed herein, theinstrumented application 135 is implemented to include monitoringfunctionality provided by the monitoring entity via, for example, asoftware development kit (SDK). The monitoring functionality, whenenabled, transmits monitoring information to the central facility 170.

The example data store 150 of the illustrated example of FIG. 1 may beany device for storing data such as, for example, flash memory, magneticmedia, optical media, etc. In the illustrated example, the data store150 is implemented by random access memory of the media device 130.Furthermore, the data stored in the data store 150 may be in any dataformat such as, for example, binary data, comma delimited data, tabdelimited data, structured query language (SQL) structures, etc. Whilein the illustrated example the data store 150 is illustrated as a singledatabase, the data store 150 may be implemented by multiple databases,and/or be stored in multiple memory locations of the media device.

In the illustrated example of FIG. 1, a software development kit (SDK)is provided from the central facility 170 of, for example, an audiencemeasurement entity to a media provider (e.g., an application developer)110. The provision of this SDK may be via an electronic communication111 over the network 120. The media provider 110 employs the SDK togenerate an instrumented app 135. The media provider 110 then posts theinstrumented app to the app store 112 as shown by the electronic message113 of FIG. 1. In some examples, the instrumented app must first beapproved by a third party (e.g., Apple) before it is made available inthe app store 112.

Once the instrumented app 135 is made available at the app store,members of the general public, some of which are panelists of theaudience measurement entity, may download the app to their respectivemedia device(s) 130 via an electronic message 115 as shown in FIG. 1.When executed, the instrumented application 135 contacts 117 the centralfacility 170 to determine whether the user of the device on which theinstrumented application 135 is executing should be asked if they wouldlike to become a panelist. If so, the instrumented application 135 maythen display a prompt to the user, ask for demographic information,transmit monitoring information to the central facility 170, etc.

When an instrumented application 135 is executed on a mobile device, theinstrumented application 135 accesses a shared memory location on themedia device 130 (e.g., to check a state of a flag) to determine whethermonitoring functionality of the instrumented application 135 should beenabled. If so, the monitoring functionality of the instrumentedapplication 135 is executed to collect monitoring information and uploadthe same to the central facility 170 via electronic message(s) 117. Ifthe monitoring functionality of the instrumented application 135 shouldnot be enabled (e.g., the shared memory location contains a flagindicating the user has opted out of monitoring), the monitoringinstructions are disabled and the instrumented application 135 isexecuted without collecting monitoring information and without uploadingmonitoring information to the central facility 170.

The central facility 170 of the illustrated example is a facility of anaudience measurement entity (e.g., the Nielsen Company (US) LLC) andincludes an interface to receive reported metering information (e.g.,metadata) from the media device 130 via the network 120. The examplecentral facility 170 of the illustrated example of FIG. 1 includes anHTTP interface 175, a registration data controller 177, a data store176, a monitoring data receiver 179, a timestamper 180, a panel creator182, an application ID assignor 184, a unique ID generator 186, asoftware development kit (SDK) provider 188, and a reporter 190.

In the illustrated example, the central facility 170 includes an HTTPinterface 175 to receive HTTP requests that include media monitoringinformation, demographic information, etc. The HTTP requests are sentwith the media monitoring information in their payload. The mediamonitoring information may include media-identifying information (e.g.,media-identifying metadata, codes, signatures, watermarks, and/or otherinformation that may be used to identify presented media), applicationusage information (e.g., an identifier of an application, a time and/orduration of use of the application, a rating of the application, etc.),user-identifying information (e.g., demographic information, a uniqueidentifier, a user identifier, a panelist identifier, a username, etc.),etc. The requests may not be intended to actually retrieve media, butare instead used as a vehicle to convey the metering information. Thus,the HTTP requests may be referred to as “dummy requests”. The centralfacility 170 is provided with software (e.g., a daemon) to extract themetering information from the payload of the dummy request(s).Additionally or alternatively, any other method(s) to transfer themetering information may be used such as, for example, an HTTP Secureprotocol (HTTPS), a file transfer protocol (FTP), a secure file transferprotocol (SFTP), an HTTP and/or HTTPS GET request, an HTTP and/or HTTPSPOST request, etc.

The example data store 176 of the illustrated example of FIG. 1 may beany device for storing data such as, for example, flash memory, magneticmedia, optical media, etc. The data store 176 of the illustrated exampleof FIG. 1 stores monitoring information received at the registrationdata controller (e.g., demographic information transmitted by theinstrumented application 135), and/or received at the monitoring datareceiver 179 (e.g., media-identifying information, application usageinformation, etc.). However, the data store 176 may additionally oralternatively store any other information. Furthermore, the data storedin the data store 176 may be in any data format such as, for example,binary data, comma delimited data, tab delimited data, structured querylanguage (SQL) structures, etc. While in the illustrated example thedata store 176 is illustrated as a single database, the data store 176may be implemented by multiple databases, and/or be stored in multiplememory locations of the media device.

The example registration data controller 177 of the illustrated exampleof FIG. 1 is implemented by a logic circuit such as a semiconductorbased processor executing instructions, but it could additionally oralternatively be implemented by an application specific integratedcircuit(s) (ASIC(s)), programmable logic device(s) (PLD(s)) and/or fieldprogrammable logic device(s) (FPLD(s)), an analog circuit, and/or othercircuitry. The example registration data controller 177 receivesdemographic information from the instrumented application 135 inassociation with a unique identifier. As described below, the uniqueidentifier is created by the unique ID generator 186. The receivedregistration/demographic information is stored in the data store 176 inassociation with the unique ID. The received demographic information maylater be used to correlate media exposure and/or application usage to aparticular panelist and/or demographic.

The example monitoring data receiver 179 of the illustrated example ofFIG. 1 is implemented by a logic circuit such as a semiconductor basedprocessor executing instructions, but it could additionally oralternatively be implemented by an ASIC, a PLD, an FPLD, an analogcircuit, and/or other circuitry. The example monitoring data receiver179 receives media monitoring information from the instrumentedapplication 135. As disclosed herein, media monitoring information mayinclude media-identifying information (e.g., media-identifying metadata,codes, signatures, watermarks, and/or other information that may be usedto identify presented media), application usage information (e.g., anidentifier of an application, a time and/or duration of use of theapplication, a rating of the application, etc.), user-identifyinginformation (e.g., demographic information, a unique identifier, apanelist identifier, a username, etc.), etc. The monitoring datareceiver 179 stores the received monitoring information in the datastore 176 in association with a unique ID.

In the illustrated example, the example monitoring data receiver 179stores and analyzes the monitoring information received from theinstrumented application(s) 135 from different media devices. Forexample, the example monitoring data receiver 179 may sort and/or groupmetering information by media provider 110 (e.g., by grouping allmetering data associated with a particular media provider 110, and/orassociated with a particular instrumented application 135). Any otherprocessing of media monitoring information may additionally oralternatively be performed. In some examples, the monitoring datareceiver 179 adds a timestamp to the media monitoring information uponreceipt. Timestamping (e.g., recording a time and/or a date that anevent occurred) enables accurate identification and/or correlation ofmedia that was presented and/or the time that it was presented with thedemographics of the user(s) of the media device(s).

The example panel creator 182 of the illustrated example of FIG. 1 isimplemented by a logic circuit such as a semiconductor based processorexecuting instructions, but it could additionally or alternatively beimplemented by an ASIC, a PLD, an FPLD, an analog circuit, and/or othercircuitry. The example panel creator 182 identifies the master frame andstatistically selects users and/or devices within the master frame to berecruited to become panelists. The users and/or devices selected to berecruited are referred to as a probability panel. In some examples, theexample panel creator 182 separates the probability panel into aplurality of test cells. Each test cell may be associated with differentrecruitment information (e.g., different prompts, different demographicinformation requested, etc.).

The example unique ID generator 186 of the illustrated example of FIG. 1is implemented by a logic circuit such as a semiconductor basedprocessor executing instructions, but it could additionally oralternatively be implemented by an ASIC, a PLD, an FPLD, an analogcircuit, and/or other circuitry. The example unique ID generator 186generates a unique identifier in response to a request for a uniqueidentifier from an instrumented application 135. In the illustratedexample, the unique identifier is a serial number that is uniquelyassigned to each user and/or media device 130. However, any other way ofgenerating a unique identifier may additionally or alternatively be usedsuch as, for example, a username, an email address, a hardwareidentifier of the media device 130, etc.

The example SDK provider 188 of the illustrated example of FIG. 1 isimplemented by a logic circuit such as a semiconductor based processorexecuting instructions, but it could additionally or alternatively beimplemented by an ASIC, a PLD, an FPLD, an analog circuit, and/or othercircuitry. The example SDK provider 188 provides instructions toapplication developers to facilitate creation of the instrumentedapplication 135. In some examples, the SDK is provided such that theapplication developer(s) can integrate the SDK into existingapplications. While in the illustrated example an SDK is provided, themonitoring components instrumented by the SDK and/or monitoringinstructions provided via the SDK may be provided in any other fashion.For example, the monitoring components may be provided as an applicationprogramming interface (API), a plugin, an add-on, etc. In some examples,the example SDK provider 188 provides the application developer with anapplication identifier that is unique to the application that will beinstrumented. Unique application identifiers enable accurate correlationof instrumented applications and the users and/or devices on which suchinstrumented applications are executed. Moreover, unique applicationidentifiers enable the panel creator 182 to select users and/or devicesbased on applications with which they are associated.

The example reporter 190 of the illustrated example of FIG. 1 isimplemented by a logic circuit such as a semiconductor based processorexecuting instructions, but it could additionally or alternatively beimplemented by an ASIC, a PLD, an FPLD, an analog circuit, and/or othercircuitry. The example reporter 190 generates reports indicative ofmedia exposure metrics and/or application usage metrics based on one ormore different types of client devices (e.g., personal computers,portable devices, mobile phones, tablets, etc.). For example, thereporter 190 compiles media exposure metrics based on the correlation ofthe media-identifying information, the application usage information,and the user-identifying information. A report is then generated toindicate media exposure and/or application usage statistics. In someexamples, the exposure measurements provide ratings information fordifferent media (e.g., a particular television show, a particularwebsite, a particular movie, etc.) In some examples, the exposuremeasurements indicate ratings information and/or usage statistics fordifferent instrumented applications. In some examples, the reporter 190reports metrics about user acceptance of registration prompts acrossvarious test cells.

Additionally or alternatively, popularities of different types of mediaacross different device types may be reported. Such different types ofmedia may be, for example, news, movies, television programming,on-demand media, Internet-based media, games, streaming games,advertisements, etc. Such comparisons may be made across any type(s)and/or numbers of devices including, for example, cell phones, smartphones, dedicated portable multimedia playback devices, iPod® devices,tablet computing devices (e.g., an iPad®), standard-definition (SD)televisions, high-definition (HD) televisions, three-dimensional (3D)televisions, stationary computers, portable computers, Internet radios,etc. Any other type(s) and/or number of media and/or devices may beanalyzed. The report may also associate the media exposure metrics withdemographic segments (e.g., age groups, genders, ethnicities, etc.)corresponding to the user(s) of the media device(s). Additionally oralternatively, the report may associate the media exposure metrics withmetric indicators of the popularity of the artist, genre, song, title,etc., across one or more user characteristics selected from one or moredemographic segment(s), one or more age group(s), one or more gender(s),and/or any other user characteristic(s).

In some examples, the media exposure metrics are used to determinedemographic reach of streaming media, ratings for streaming media,engagement indices for streaming media, user affinities associated withstreaming media, broadcast media, and/or any other audience measuremetric associated with streaming media and/or locally stored media.While in the illustrated example, the media exposure metrics are used toprovide information for streaming media, the media exposure metrics maybe used to provide information for any other type of media such as, forexample, websites, non-streaming media, etc. In some examples, the mediaexposure metrics are audience share metrics indicative of percentages ofaudiences for different applications and/or types of applications thataccessed the same media. For example, a first percentage of an audiencemay be exposed to news media via a browser application, while a secondpercentage of the audience may be exposed to the same news media via anews reader application.

Although for simplicity, the above discussion focuses on a single mediadevice 130, a single instrumented app 135, a single media provider 110,a single app store 112, and a single central facility 170, any number ofany of these components may be present. For example, in a typicalimplementation, it is expected that multiple media providers will offermultiple different instrumented apps to the public at large. Thus, it isexpected that there will be many media devices accessing such apps, andthat a significant portion of the users will agree to be recruitedand/or eventually become panelists. Thus, it is expected that there willbe many instances of the above processes conducted across many devicesat overlapping and/or distinct times. Thus, for example, there may bemany instantiations of the machine-readable instructions disclosed inthe below flowcharts operating at the same or different time. Some ofthese instances may be implemented as parallel threads operating on asame device.

FIG. 2 is a block diagram of an example implementation of the exampleinstrumented application 135 of FIG. 1. The example instrumentedapplication 135 of FIG. 2 includes a media presenter 210, a mediamonitor 220, a monitoring data controller 240, a unique ID determiner250, and a recruitment controller 270.

The example media presenter 210 of FIG. 2 is implemented by computerexecutable instructions. In the illustrated example, the media presenter210 interacts with a QuickTime® application programming interface (API)to display media via the media device 130. While in the illustratedexample, the QuickTime® API is used, any other media presentingframework may additionally or alternatively be employed. For example,the media presenter 210 of the illustrated example may interact with anAdobe® Flash® media presentation framework.

The example media monitor 220 of the illustrated example of FIG. 2 isimplemented by computer executable instructions. The media monitor 220of FIG. 2 is downloaded with the instrumented app 135 and is initiatedwhen the instrumented application 135 determines that the monitoringfunctionality should be enabled. The media monitor 220 of theillustrated example extracts metering data (e.g., signatures,watermarks, etc.) from the media presented by the media presenter 210.For example, the media monitor 220 can implement functionality providedby a software development kit (SDK) to extract one or more audiowatermarks, one or more video (e.g., image) watermarks, etc., embeddedin the audio and/or video of the media presented by the media presenter210. (For example, the media may include pulse code modulation (PCM)audio data or other types of audio data, uncompressed video/image data,etc.)

Audio watermarking is a technique used to identify media such astelevision broadcasts, radio broadcasts, advertisements (televisionand/or radio), downloaded media, streaming media, prepackaged media,etc. Existing audio watermarking techniques identify media by embeddingone or more audio codes (e.g., one or more watermarks), such as mediaidentifying information and/or an identifier that may be mapped to mediaidentifying information, into an audio and/or video component. In someexamples, the audio or video component is selected to have a signalcharacteristic sufficient to hide the watermark. As used herein, theterms “code” or “watermark” are used interchangeably and are defined tomean any identification information (e.g., an identifier) that may beinserted or embedded in the audio or video of media (e.g., a program oradvertisement) for the purpose of identifying the media or for anotherpurpose such as tuning (e.g., a packet identifying header). As usedherein “media” refers to audio and/or visual (still or moving) contentand/or advertisements. To identify watermarked media, the watermark(s)are extracted and used to access a table of reference watermarks thatare mapped to media identifying information.

Unlike media monitoring techniques based on codes and/or watermarksincluded with and/or embedded in the monitored media, fingerprint orsignature-based media monitoring techniques generally use one or moreinherent characteristics of the monitored media during a monitoring timeinterval to generate a substantially unique proxy for the media. Such aproxy is referred to as a signature or fingerprint, and can take anyform (e.g., a series of digital values, a waveform, etc.) representativeof any aspect(s) of the media signal(s)(e.g., the audio and/or videosignals forming the media presentation being monitored). A goodsignature is one that is repeatable when processing the same mediapresentation, but that is unique relative to other (e.g., different)presentations of other (e.g., different) media. Accordingly, the term“fingerprint” and “signature” are used interchangeably herein and aredefined herein to mean a proxy for identifying media that is generatedfrom one or more inherent characteristics of the media.

Signature-based media monitoring generally involves determining (e.g.,generating and/or collecting) signature(s) representative of a mediasignal (e.g., an audio signal and/or a video signal) output by amonitored media device and comparing the monitored signature(s) to oneor more references signatures corresponding to known (e.g., reference)media sources. Various comparison criteria, such as a cross-correlationvalue, a Hamming distance, etc., can be evaluated to determine whether amonitored signature matches a particular reference signature. When amatch between the monitored signature and one of the referencesignatures is found, the monitored media can be identified ascorresponding to the particular reference media represented by thereference signature that matched the monitored signature. Becauseattributes, such as an identifier of the media, a presentation time, abroadcast channel, etc., are collected for the reference signature,these attributes may then be associated with the monitored media whosemonitored signature matched the reference signature. Example systems foridentifying media based on codes and/or signatures are long known andwere first disclosed in Thomas, U.S. Pat. No. 5,481,294, which is herebyincorporated by reference in its entirety.

In some examples, the code/watermark is transmitted with and/or inassociation with the media as media-identifying metadata. Themedia-identifying metadata may be formatted in a text or binary formatsuch as, for example, an ID3 tag. In some examples, themedia-identifying metadata includes the data from the code/watermark,etc. However, in some other examples, the media-identifying metadata isderived from and/or representative of the code/watermark, and/or asignature, etc. Example methods and apparatus to transcode watermarksinto ID3 tags are disclosed in U.S. patent application Ser. No.13/341,646, U.S. patent application Ser. No. 13/341,661, U.S. patentapplication Ser. No. 13/443,596, U.S. patent application Ser. No.13/455,961, U.S. patent application Ser. No. 13/472,170, U.S. patentapplication Ser. No. 13/793,991, U.S. patent application Ser. No.13/793,974, and U.S. patent application Ser. No. 13/793,983, which arehereby incorporated by reference in their entireties.

In the illustrated example of FIG. 2, the example media monitor 220determines (e.g., extracts, transforms, derives, decodes, converts,etc.) the media-identifying metadata (e.g., such as media identifyinginformation, source identifying information, watermarks, codes, etc.)associated with, and/or transmitted with the media (e.g., in an ID3 tag,in a Hypertext Transfer Protocol (HTTP) Live Streaming (HLS) manifest,in an Moving Pictures Experts Group version 2 (MPEG2) transport stream,in a timed text track, in an encryption key associated with the media,etc.). The media-identifying metadata may be a code in, for example, atext or binary format located in an ID3 tag associated with the media.In some examples, the media monitor 220 converts the metering data intoa text and/or binary format for transmission to the central facility170.

In some examples, the media monitor 220 monitors events other than mediapresentation events. For example, the media monitor 220 may monitorapplication interaction events such as, for example, when a link in anapplication is selected, when an application is launched, when anapplication is closed, etc.

The example monitoring data controller 240 of the illustrated example ofFIG. 2 is implemented by computer executable instructions. In theillustrated example, the monitoring data controller 240 manages recordsstored in the data store 150. For example, the data controller 240controls transmission of stored records, deletion of aged records,determining if a storage threshold of the data store 150 is exceeded,etc.

The example unique ID determiner 250 of the illustrated example of FIG.2 is implemented by computer executable instructions. In the illustratedexample, the unique ID determiner 250 determines whether a uniqueidentifier is present on (e.g., stored on a shared memory of) the mediadevice 130. The unique identifier may be present on the media device 130by virtue of another instrumented application having been installedand/or the unique ID determiner previously having determined and storedthe unique identifier. In the illustrated example, when the uniqueidentifier is not present on the media device 130, the unique IDdeterminer 250 requests the unique identifier from the central facility170. However, in some examples, the unique ID determiner 250 maydetermine the unique identifier without contacting the central facility170. In such examples, the unique identifier may be based on, forexample, a username, a hardware address of the media device (e.g., amedia access control (MAC) address, an electronic serial number (ESN),etc.), etc.

The example recruitment controller 270 of the illustrated example ofFIG. 2 is implemented by computer executable instructions. In theillustrated example, the recruitment controller 270 controls whether arecruitment interface (e.g., the example recruitment interface 310 ofFIG. 3) is displayed to the user. In some examples, the recruitmentcontroller 270 displays a demographic information collection interface(e.g., the example demographic information collection interface 410 ofFIG. 4). When displaying the demographic information collectioninterface, the example recruitment controller 270 collects demographicinformation from the user and transmits the collected information to thecentral facility 170.

FIG. 3 is an example recruitment interface 310 that may be displayed bythe instrumented application 135 of FIGS. 1 and/or 2. As describedabove, different recruitment interfaces, when presented, may result indifferent levels of user participation. In examples disclosed herein,appropriate recruitment practices in selecting the verbiage, formulatingthe questions, and designing the interface for each message torespondents are used when designing the recruitment interface 310.However, since recruitment via an instrumented application 135 isdifferent from prior methodologies (e.g., web-page based recruitment,telephone based recruitment, advertisement based recruitment, etc.), newconsiderations are taken into account such as, for example, how arecruitment interface is presented, when a recruitment interface ispresented, etc. Examples disclosed herein focus on these considerations,to provide a multi-stage, cross-platform environment, yet seamlessrecruitment flow that captures an accurate panel of potential tabletinstrumented application users in the home, while giving users theinformation and flexibility to participate in the study to the extentthat they desire.

In the illustrated example of FIG. 3, the example recruitment interface310 includes a logo 315, a prompt 320, a “yes” button 330, a “no” button340, an “ask me later” button 350, and a close button 360.

In examples disclosed herein, many different methodologies may beemployed when designing the recruitment interface 310. To ensure thatsampled users excludes trial users (e.g., users who are using aninstrumented application in a trial mode, users who have only recentlyinstalled the application and have not yet established a pattern ofusage, etc.), and to avoid the possibility of introducing confusion onthe first or second launch of the instrumented application 135, theinstrumented application 135 displays the recruitment screen 310 at thethird launch of the instrumented application 135. However, in someexamples, the instrumented application 135 may display the recruitmentscreen 310 at a different time based on other criteria such as, forexample, upon a fifth launch of the instrumented application 135, oneweek after the instrumented application 135 was first installed, etc.

It is important to keep in mind some of the reasons why recruitmentstarts from the instrumented application to ensure that the userssampled are actually exposed to media via the instrumented application.When contacted for recruitment, users could actually be watchingmedia—an activity where interruptions are unwelcome. Thus, in examplesdisclosed herein, the timing of the display of the recruitment interface310 is implemented so that it does not coincide with any videostreaming. Specifically, in some examples the recruitment interface 310(e.g., a pop-up) displays only after the video ends or is stopped (e.g.,while the user is searching for another episode to watch or for moreinformation about the program).

Users have developed resistance (and even animosity) to mobile ads,which appear in apps and websites and often diminish user experience andhinder the attainment of the goal that led the user to that app orwebsite (e.g., entertainment, escape, search for specific information).In some examples, because of operating system (e.g., iOS) limitations,the recruitment interface 310 does not include any special fonts thatwould immediately draw the users' attention (e.g., highlighting,italics, etc.). Lastly, in examples disclosed herein, users are nottaken out of the instrumented application 135 environment for therecruitment process. Rather, communication with the users takes placewithin the instrumented application 135 they were initially using, so asnot to affect their behavior and/or affect their use of the instrumentedapplication 135.

The example recruitment interface 310 includes the example logo 315. Inthe illustrated example, the logo 315 represents the monitoring entityand, thereby, informs the user that the recruitment interface 310 isassociated with the monitoring entity. Including the logo 315 of themonitoring entity lends research legitimacy to the inquiry. In theillustrated example, the logo 315 is displayed at the top of therecruitment interface 310. However, the example logo 315 may bedisplayed in any location.

The example recruitment interface 310 includes an example prompt 320.The example prompt 320 includes text that, in some examples, informs theuser that the recruitment is taking place. In the illustrated example,the prompt 320 is enlarged to fill the size of the recruitmentinterface. Moreover, all of the text of the example prompt 320 isdisplayed at once, resulting in an interface that does not require theuser to scroll through the text to read the entire prompt 320. Asdescribed above, different text may be used in the prompt 320 based onwhich test cell the user has been assigned. Using different text withinthe prompt 320 enables the monitoring entity to test different wordings,formats, etc. in an effort to create the most effective recruitmentinterface.

Although the recruitment interface 310 appears in a plain text pop-upwithin the instrumented application 135, the recruitment interface isstructured to not look like an advertisement or a legal disclaimer(common pop-ups that users have learned to ignore or avoid). In someexamples, the users may be provided with a snapshot of the research, toenable the user to understand the purpose and/or results of themonitoring effort by glancing at the screen for a few seconds (e.g., thetime it would take someone to close a pop-up). Keeping the structure inline with other alerts common on the operating system (e.g., Apple iOS,Google Android, etc.), with which users are familiar, facilitatesseamlessness of the transition between the operating system environmentand the recruitment environment.

Media devices, such as tablets, smartphones, etc. are often shared amongseveral household members, who may have different reactions to the studyand/or different reasons for accepting or declining the recruitmentinvitation. To give undecided or additional household members the timenecessary to make a decision, the recruitment interface offers theoption to defer recruitment (“Ask Me Later”) via the “ask me later”button 350. If the “ask me later” button 350 is selected, therecruitment invitation appears again at the next launch of theinstrumented application 135. In the illustrated example, users candefer a maximum of two times. However, any other deferment limit may beused (e.g., five times, ten times, etc.), or a maximum number ofdeferments may not be used. If the deferral option has been chosen anumber of times greater than or equal to the deferment limit, the “askme later” button 350 is not displayed as part of the recruitmentinterface 310. After the maximum deferment limit is reached, it islikely that the user would already have made a decision aboutparticipating in the study. Instead, users may accept the recruitmentinterface by selecting the “yes” button 330, or may decline therecruitment interface by selecting the “no” button 340. In someexamples, the recruitment interface 310 includes a close button 360. Theclose button 360 may be included so that the recruitment interface 310stylistically appears in line with other alerts common on the operatingsystem. In the illustrated example, the close button 360 has the samefunctionality as the “ask me later” button 350. While in the illustratedexample, the “yes” button 330, the “no” button 340, the “ask me later”button 350, and the close button 360 are described as buttons, any othertype of interface element may additionally or alternatively be used suchas, for example, a drop down menu, radio selection buttons, checkboxes,etc.

A concern (both from a cooperation perspective and a legal perspective)is the high likelihood that a child will be using the media device atthe time the recruitment interface is displayed. Depending on readingand comprehension skills, children could willingly or unwillingly acceptor reject recruitment. On one hand, if the child accepts, the monitoringentity cannot use monitoring data received from that media device, perthe Children's Online Privacy Protection Act (COPPA). An adult's consentis needed at the registration stage for the monitoring entity to keepdata from minors. On the other hand, if a child rejects recruitment(e.g., because he/she has not yet learned to read), the monitoringentity risks losing much valuable monitoring data (e.g., data associatedwith an adult user).

Several measures are taken to ensure that minors' recruitment accountsfor both sample-building goals and legal provisions. At the initialrecruitment stage, if children defer recruitment (e.g., by selecting the“ask me later” button 350), the invitation appears again, allowing forthe opportunity of an adult to receive and/or review it. If the userrejects (e.g., by selecting the “no” button 340), a confirmation windowappears to ensure that the “no” button has not been selected at randomor by mistake. In some examples, the user may be thanked for their timeand informed that such information will or will not be requested fromthem at a later time. If the user accepts (e.g., by selecting the “yes”button 330), they will need to indicate that they are an adult (e.g., byentering their birthdate, etc.) before providing any detaileddemographic information. In some examples, the user may be thanked forselecting the “yes” button 330.

FIG. 4 is an example demographic information collection interface 400.Once a user has agreed to become part of the panel, demographicinformation of the user is collected. Demographic data from these usersare valuable for enumeration purposes, even if some users do notregister for long-term measurement. Just because the user has expressedinterest in the study, does not necessarily mean that they are part ofthe panel. As noted above, the recruitment interface indicates thatshowing interest in the study by selecting “Yes” does not automaticallyinclude one in the panel. Once a user declares that they would like tolearn more about the study, they are taken to the example demographicinformation collection interface 400 (e.g., a website) where they areasked to provide some basic demographic information about theirhousehold. This demographic information collection interface 400 iscustomized for use on a media device (e.g., a tablet having atouch-screen interface) and is designed similarly to the recruitmentinterface 310, to ensure a seamless transition.

In the illustrated example, the demographic information collectioninterface 400 asks for a few basic pieces of demographic informationabout the respondent (e.g., a zip code 415, an email address 420) andabout each household member 425 (month/year of birth, gender, etc.). Theuser is also asked to identify himself/herself among these householdmembers, in order to assess whether he/she is eighteen years or older(e.g., based on the birth date provided). Respondents under the age ofeighteen are automatically disqualified and cannot proceed withrecruitment. In such an example, disqualification acts as a deferral,with the initial recruitment invitation reappearing at the next applaunch to allow for an adult to respond.

Once in the web environment of the demographic information interface,transitioning from one screen to the next is smooth, quick, and logical.After providing the basic demographic information used for enumerationon the first screen, respondents can choose to join the research panelor not 430. If they refuse to join, they are directed to a screenconfirming rejection (just as with the initial recruitment invitation ofthe recruitment interface). This screen provides an opportunity toreturn to recruitment, in case the rejection was accidental. If usersagree to join the panel, they must first pass two eligibility screens(besides the age requirement): they must not be a media employee (e.g.,an employee of the monitoring entity, an employee of a mediadistributor, an employee of a television network, etc.), and they mustnot participate in any other panels operated by the monitoring entity(to avoid cross-panel cannibalization and to screen out respondents witha vested interest in the study results). If respondents do not fall ineither of these categories, they are included in the panel and receive aconfirmation email at the address they provided on the first websitescreen.

Since an example goal of such studies is to estimate the universe oftablet instrumented application users, it is necessary to collect datarequired for measuring and weighting the demographic categories withinthis universe. However, given the lack of data on the level ofcooperation and response rates expected from within-app recruitment,some respondents may be willing to provide more information than what isrequested. To test the extent to which respondents are willing to sharepersonal information in this context, a subset of respondents (e.g., oneor more test cells) are randomly selected to provide additionalinformation to be used for weighting. This data may include education,race, income, and ethnicity, and is required in an additional (andfinal) screen between the eligibility screen and the panel membershipconfirmation screen. The subset of randomly selected users and/ordevices within the probability panel is referred to as a test cell.

In the illustrated example, the demographic information collectioninterface includes a message 410. The example message 410 of theillustrated example of FIG. 4 thanks the user for agreeing toparticipate in the study. However, any other message 410 may be used. Inthe illustrated example, the example message 410 used is based on thetest cell to which the user and/or device has been assigned. In someexamples, the message 410 offers an incentive for providing demographicinformation and/or participating in the study. Different levels ofincentives may be offered for participation in different test cells. Forexample, users selected to provide very detailed demographic informationmay be given more incentives than users selected to provide basicdemographic information.

In examples disclosed herein, six test cells are used. However, anynumber of test cells may additionally or alternatively be used. Thesecells combine various incentive amounts given for providing the initialenumeration data and for joining the panel, delivered as either anelectronic gift card or as a monthly sweepstakes. In examples disclosedherein, to ascertain a statistically observable difference among testcells, seven hundred users are assigned to each of six test cells, for atotal sample size (e.g., the probability panel) of four thousand and twohundred. Response rates associated with each of the test cells may thenbe used to determine which questions are asked of respondents and/orwhat types of incentives are offered to respondents.

In examples disclosed herein, the involvement of the monitoring entityis disclosed at all times. In some examples, a reference to the studyand/or monitoring efforts appear on the device in a place that is bothvisible and non-intrusive when users watch video. Accordingly, theinstrumented application 135 includes an icon associated with themonitoring entity embedded discreetly (yet visibly) in the video-viewingapps. This icon also serves as the go-to place for users to learn moreabout the study and to opt out if they wish (links to the study info andopt-out pages are also provided in the confirmation emails deliveredafter joining the panel).

FIG. 5 illustrates an example table 500 representative of uniqueidentifiers stored in association with application identifiers. In theillustrated example of FIG. 5, the example table 500 includes a uniqueidentifier column 510, an application identifier column 520, and atimestamp column 530. The example unique identifier 510 stores uniqueidentifiers created by the unique ID generator 186 of the centralfacility 170. In the illustrated example, the unique identifiers arecreated by the unique ID generator 186. However, the unique IDs may becreated and/or assigned in any other fashion. For example, uniqueidentifiers may be created by the user, the unique identifier may be ahardware address of the media device 130, etc.

The application identifier column 520 stores an application identifier.In the illustrated example, the application identifier is specific tothe instrumented application 135. In the illustrated example, theapplication identifier is a name of the application such as, forexample, “ESPN”, “HBO Go”, “Hulu”, etc. In some examples, theapplication identifier includes version information of the instrumentedapplication 135 such as, for example, “version 1.1.0”, etc. In someexamples, the application identifier is a serial number associated withthe instrumented application. In the illustrated example, theapplication identifier is assigned by the media provider 110 and/or theapplication developer of the instrumented application 135. However, insome examples, the SDK provider 188 of the central facility 170, whenproviding the SDK to the media provider 110, may assign an applicationidentifier to be used with the instrumented application 135.

The timestamp column 530 represents a time when the instrumentedapplication 135 reported that the user and/or device identified in theunique identifier column 510 first launched the application identifiedin the application identifier column 520. In the illustrated example,only one row is stored per user/device and application pair. Such row isassociated with the first launch of the instrumented application 135.However, the timestamp column may be updated to reflect the most recentlaunch of the instrumented application 135, multiple rows may berecorded for each user/device and application pair representing eachtime that the instrumented application 135 was launched, etc.

The example table 500 of the illustrated example of FIG. 5 includes afirst row 550, a second row 560, and a third row 570. However, anynumber of rows may additionally or alternatively be included in theexample table 500. The first example row 550 identifies that a firstuser and/or device launched an ESPN application at a first-time. Thesecond example row 560 identifies that the first user and/or device thenlaunched an “HBO Go” application at a second time. The third example row570 identifies that a second user and/or device launched a “Hulu”application at a third time. While in the illustrated example, two usersare represented executing three applications, any other number of usersand/or applications may additionally or alternatively be used.

FIG. 6 illustrates an example table 600 representative of recruitmentinformation stored in association with a unique identifier. In theillustrated example of FIG. 6, the example table 600 includes the uniqueidentifier column 510, a recruitment offer presented column 620, arecruitment offer accepted column 630, and a demographic informationcollected column 640. The example recruitment offer presented column 620represents whether a recruitment offer has been presented to the uservia the instrumented application 135. The example recruitment offeraccepted column 630 represents whether the user has accepted and/oragreed to participate in the monitoring study. The example demographicinformation collected column 640 represents whether demographicinformation has been collected from the user. If, for example, the userhas agreed to participate in the study, but not yet provided thedemographic information, the user may be contacted to collect suchdemographic information.

The example table 600 of the illustrated example of FIG. 6 includes afirst row 650, a second row 660, a third row 670, and a fourth row 680.The first example row 650 corresponds to the first user and/or device(e.g., the user 001 associated with row 550 and row 560 of FIG. 5). Thefirst example row 650 identifies that the recruitment offer has beenpresented to the first user, that the first user has accepted therecruitment offer, and that demographic information has been collectedfrom the first user. Once the first user has provided demographicinformation, monitoring functionality may be enabled for instrumentedapplications associated with the first user and/or device.

The second example row 660 corresponds to the second user and/or device(e.g., the user “002” associated with row 570 of FIG. 5). The secondexample row 660 identifies that the recruitment offer has been presentedto the second user, but that the second user has refused the recruitmentoffer. Accordingly, the second example row 660 represents thedemographic information associated with the second user and/or device isnot applicable, because the second user refused the recruitment offer.

The third example row 670 corresponds to a third user and/or device. Thethird example row 670 identifies that the third user has not yet beenpresented with a recruitment offer. This may be because, for example,the instrumented application 135 associated with the third user and/ordevice has not yet been launched the requisite number of times beforethe recruitment interface 310 would be presented. Accordingly,information regarding whether the third user and/or device has acceptedthe recruitment offer or has provided any demographic information is notapplicable.

The fourth example row 680 corresponds to a fourth user and/or device.The fourth example row 680 represents that the fourth user and/or devicehas not been selected to be provided with a recruitment offer. Becauseusers who become panelist are often provided with incentives for theirparticipation in the study, maintaining and operating too large of apanel may become cost prohibitive. As such, not all users may beselected to be recruited. The fourth example user and/or device may beselected for recruitment at a later time.

FIG. 7 illustrates an example table 700 representative of a uniqueidentifier stored in association with a test cell. In the illustratedexample of FIG. 7, the example table 700 includes the unique identifiercolumn 510, and a test cell column 720. The example test cell column 720identifies a test cell to which the user and/or device identified in theunique identifier column 510 has been assigned. In the illustratedexample, a first example row 750 indicates that the first user and/ordevice (e.g., corresponding to row 550 and row 560 of FIG. 5, and row650 of FIG. 6) has been assigned to a first test cell. A second examplerow 760 indicates that the second user and/or device (e.g.,corresponding to row 570 of FIG. 5 and row 660 of FIG. 6) has beenassigned to a second test cell. A third example row 770 indicates thatthe third user and/or device (e.g., corresponding to row 670 of FIG. 6)has been assigned to the first test cell. A fourth example row 780indicates that the fourth user and/or device (e.g., corresponding to row680 of FIG. 6), who was not selected for recruitment, has not beenassigned to a test cell.

FIG. 8 illustrates an example table 800 representative of test cellinformation that may be stored by the central facility of FIG. 1. In theillustrated example of FIG. 8, the example table 800 includes the testcell column 720, a recruitment interface data column 825, a requestethnicity column 830, a request age column 835, and a request financialinformation column 840. However, any other data associated with a testcell may additionally or alternatively be included such as, for example,an incentive column identifying incentives that are to be offered tousers assigned to the test cell, a column indicating whether themonitoring entity logo is to be displayed as part of the recruitmentinterface 310, etc.

The example recruitment interface data column 825 includes informationabout the recruitment interface 310 that is presented to the user viathe instrumented application 135. In some examples, differentrecruitment interfaces may result in different levels of user agreementto participate in the study. For example, a recruitment interface thatis very detailed about how the study is performed may contain too muchtext and/or legal disclaimers and discourage users from agreeing toparticipate in the study. Conversely, a recruitment interface that isnot detailed about how the study is performed may have a similar effectof dissuading users from agreeing to participate in study. Usingdifferent test cells enables the monitoring entity to understand theeffect of different recruitment interfaces on acceptance and/or refusalrates.

The example request ethnicity column 830 identifies whether ethnicityinformation will be requested as part of the demographic information forusers assigned to a particular test cell. The example request age column835 identifies whether age information will be requested as part of thedemographic information for users and/or devices assigned to aparticular test cell. In some examples, age information is limited towhether the user is an adult (e.g., over the age of eighteen). However,in some other examples, age information may be more detailed and may,for example, request the user provide their date of birth. The examplerequest financial information column 840 identifies whether financialinformation will be requested as part of the demographic information forusers assigned to the particular test cell. In the illustrated example,the requested financial information may include, for example, ahousehold income per annum associated with the user, a credit score ofthe user. Understanding financial information such as household incomemay enable the monitoring entity to better tailor incentives offered tousers of different demographic populations.

The example table 800 of the illustrated example of FIG. 8 includes afirst example row 850 and a second example row 860. The first examplerow 850 identifies information associated with a first test cell. Thesecond example row 860 identifies information associated with a secondtest cell. In the illustrated example, the first test cell uses a firstrecruitment interface, while the second test cell uses a secondrecruitment interface different from the first recruitment interface. Inthe illustrated example, ethnicity information is not requested inassociation with the first test cell, but is requested in associationwith the second test cell. In the illustrated example, age informationis requested for both the first test cell and the second test cell. Inthe illustrated example, financial information is not requested foreither of the first test cell or the second test cell. However, anycombination of demographic data requested for a given test cell mayadditionally or alternatively be used.

While an example manner of implementing the example central facility 170and/or the example instrumented application 135 is illustrated in FIGS.1 and/or 2, one or more of the elements, processes and/or devicesillustrated in FIGS. 1 and/or 2 may be combined, divided, re-arranged,omitted, eliminated and/or implemented in any other way. Further, theexample HTTP interface 175, the example registration data controller177, the example monitoring data receiver 179, the example panel creator182, the example unique ID generator 186, the example SDK provider, theexample reporter 190, and/or, more generally, the example centralfacility of FIG. 1, and/or the example media presenter 210, the examplemedia monitor 220, the example monitoring data controller 230, theexample unique ID determiner 250, the example recruitment controller270, and/or, more generally, the example instrumented application 135 ofFIGS. 1 and/or 2 may be implemented by hardware, software, firmwareand/or any combination of hardware, software and/or firmware. Thus, forexample, any of the example HTTP interface 175, the example registrationdata controller 177, the example monitoring data receiver 179, theexample panel creator 182, the example unique ID generator 186, theexample SDK provider, the example reporter 190, and/or, more generally,the example central facility of FIG. 1, and/or the example mediapresenter 210, the example media monitor 220, the example monitoringdata controller 230, the example unique ID determiner 250, the examplerecruitment controller 270, and/or, more generally, the exampleinstrumented application 135 of FIGS. 1 and/or 2 could be implemented byone or more analog or digital circuit(s), logic circuits, programmableprocessor(s), application specific integrated circuit(s) (ASIC(s)),programmable logic device(s) (PLD(s)) and/or field programmable logicdevice(s) (FPLD(s)). When reading any of the apparatus or system claimsof this patent to cover a purely software and/or firmwareimplementation, at least one of the example HTTP interface 175, theexample registration data controller 177, the example monitoring datareceiver 179, the example panel creator 182, the example unique IDgenerator 186, the example SDK provider, the example reporter 190, theexample media presenter 210, the example media monitor 220, the examplemonitoring data controller 230, the example unique ID determiner 250,and/or the example recruitment controller 270 is/are hereby expresslydefined to include a tangible computer readable storage device orstorage disk such as a memory, a digital versatile disk (DVD), a compactdisk (CD), a Blu-ray disk, etc. storing the software and/or firmware.Further still, the example central facility 170 of FIG. 1 and/or theexample instrumented application 135 of FIGS. 1 and/or 2 may include oneor more elements, processes and/or devices in addition to, or insteadof, those illustrated in FIGS. 1 and/or 2, and/or may include more thanone of any or all of the illustrated elements, processes and devices.

Flowcharts representative of example machine readable instructions forimplementing the example central facility 170 of FIG. 1 and/or theexample instrumented application 135 of FIGS. 1 and/or 2 are shown inFIGS. 9, 10, 11, 12, 13, and/or 14. In this example, the machinereadable instructions comprise a program for execution by a processorsuch as the processor 1512 shown in the example processor platform 1500discussed below in connection with FIG. 15. The program may be embodiedin software stored on a tangible computer readable storage medium suchas a CD-ROM, a floppy disk, a hard drive, a digital versatile disk(DVD), a Blu-ray disk, or a memory associated with the processor 1512,but the entire program and/or parts thereof could alternatively beexecuted by a device other than the processor 1512 and/or embodied infirmware or dedicated hardware. Further, although the example program(s)is/are described with reference to the flowchart(s) illustrated in FIGS.9, 10, 11, 12, 13, and/or 14, many other methods of implementing theexample central facility 170 of FIG. 1 and/or the example instrumentedapplication 135 of FIGS. 1 and/or 2 may alternatively be used. Forexample, the order of execution of the blocks may be changed, and/orsome of the blocks described may be changed, eliminated, or combined.

As mentioned above, the example processes of FIGS. 9, 10, 11, 12, 13,and/or 14 may be implemented using coded instructions (e.g., computerand/or machine readable instructions) stored on a tangible computerreadable storage medium such as a hard disk drive, a flash memory, aread-only memory (ROM), a compact disk (CD), a digital versatile disk(DVD), a cache, a random-access memory (RAM) and/or any other storagedevice or storage disk in which information is stored for any duration(e.g., for extended time periods, permanently, for brief instances, fortemporarily buffering, and/or for caching of the information). As usedherein, the term tangible computer readable storage medium is expresslydefined to include any type of computer readable storage device and/orstorage disk and to exclude propagating signals and transmission media.As used herein, “tangible computer readable storage medium” and“tangible machine readable storage medium” are used interchangeably.Additionally or alternatively, the example processes of FIGS. 9, 10, 11,12, 13, and/or 14 may be implemented using coded instructions (e.g.,computer and/or machine readable instructions) stored on anon-transitory computer and/or machine readable medium such as a harddisk drive, a flash memory, a read-only memory, a compact disk, adigital versatile disk, a cache, a random-access memory and/or any otherstorage device or storage disk in which information is stored for anyduration (e.g., for extended time periods, permanently, for briefinstances, for temporarily buffering, and/or for caching of theinformation). As used herein, the term non-transitory computer readablemedium is expressly defined to include any type of computer readablestorage device and/or storage disk and to exclude propagating signalsand transmission media. As used herein, when the phrase “at least” isused as the transition term in a preamble of a claim, it is open-endedin the same manner as the term “comprising” is open ended.

FIG. 9 is a flowchart representative of example machine-readableinstructions 900 that may be executed to implement a monitoring enabled(e.g., instrumented) app such as the example instrumented application135 of FIGS. 1 and/or 2. The example program 900 of FIG. 9 begins whenthe example instrumented application 135 is executed (e.g., launched).The example instrumented application 135 may be executed when, forexample, a user selects and/or clicks on an icon associated with theapplication 135. In some examples, the example program 900 may beginwhen the example instrumented application 135 is installed. In theillustrated example, the instrumented application 135 is installed viaan “app store” (e.g., apple iTunes, Google Play, etc.). However, theexample instrumented application 135 may be installed in any otherfashion. For example, the example instrumented application 135 may bepreinstalled on the media device (e.g., present at the time the mediadevice was purchased). In examples disclosed herein, the instrumentedapplication 135 is to perform a function unrelated to audiencemeasurement (e.g., a game function, a media presentation function, anews presentation function, etc.). The example instrumented application135 may be any type of app including, for example, a game, a widget, anews reader, a browser, etc.

Once the instrumented application 135 is launched, the monitoring datacontroller 240 determines an application identifier of the instrumentedapplication 135 (block 905). In the illustrated example, theinstrumented application 135 includes an application identifier (e.g.,an application name that uniquely identifies the instrumentedapplication 135). In some examples, the application identifier iscreated by the media provider 110 and/or application developer. However,in some examples the application identifier is provided to the mediaprovider and/or application developer by the SDK provider 188 of thecentral facility 170 when the SDK is provided.

The unique identifier determiner 250 then determines whether a uniqueidentifier is present on the media device 130 (block 910). The uniqueidentifier is shared among one or more instrumented applications via thedata store 150. If the unique identifier is not present on the mediadevice, the unique identifier determiner 250 requests a uniqueidentifier from the central facility 170. The unique identifiergenerator 186 of the central facility 170 may then respond with theunique identifier. The unique identifier determiner 250 then stores theunique identifier on the media device 130. In some examples, the uniqueidentifier determiner 250 does not request the unique identifier fromthe central facility 170, but instead, may generate the uniqueidentifier independent of the central facility 170. For example, theunique identifier may be based on a hardware address of the mediadevice, a username, etc.

Once the unique identifier determiner 250 has ensured that there is aunique identifier present on the media device, the monitoring datacontroller 240 determines whether the unique identifier and applicationidentifier pair has been sent to the central facility 170 (block 925).Transmitting the unique identifier and application identifier pairenables the central facility 170 to create the example table 500described in connection with FIG. 5. If the unique identifier and theapplication identifier have not previously been sent, the monitoringdata controller 240 transmits the unique identifier and applicationidentifier to the central facility 170 (block 930). In some examples,the monitoring data controller 240 may not determine whether the uniqueidentifier and application identifier have previously been sent and may,instead, transmit the unique identifier and application identifier pairupon every launch of the instrumented application 135.

Once the monitoring data controller 240 has ensured that the centralfacility 170 is aware of the panelist identifier and applicationidentifier pair, the recruitment controller 270 determines whetherrecruitment instructions should be presented (block 935). In theillustrated example, the recruitment controller 270 contacts the centralfacility 170 to determine whether the user and/or device should berecruited. The example registration data controller 177 of the centralfacility 170 may consult the example table 600 of FIG. 6 to determinewhether a recruitment offer should be presented to the user.

If a recruitment offer is not to be presented, control terminates. Theinstrumented application 135 then goes on to perform a functionunrelated to audience measurement (e.g., a game function, a mediapresentation function, a news presentation function, etc.). In someexamples, the recruitment interface is not presented until theapplication has been launched a threshold number of times. For example,the recruitment interface may be presented upon the third launch of theinstrumented application 135. If recruitment instructions are to bepresented (block 935), the recruitment controller 270 determines therecruitment interface to be presented (block 940). In the illustratedexample, the example recruitment controller 270 determines therecruitment interface to be presented by consulting the registrationdata controller 177 of the example central facility 170. For example,the recruitment interface data column 825 of FIG. 8 may be queried bythe registration data controller 177 and/or the recruitment controller270 to determine the recruitment interface data to be used whenpresenting the recruitment interface (e.g., the example recruitmentinterface 310 of FIG. 3). The recruitment controller 270 then displaysthe recruitment interface to the user (block 945). The recruitmentcontroller 270 then determines whether the user has accepted therecruitment offer presented in the recruitment interface (block 950).

If the user has refused the offer presented in the recruiting interface(e.g., by clicking the “no” button), the recruitment controller 270notifies the central facility of the refusal of the recruitmentinterface (block 955). Control then terminates. Similarly, if the userhas deferred acceptance of the offer presented in the recruitmentinterface, control terminates. If, however, the user has accepted theoffer presented in the recruitment interface, the recruitment controller270 proceeds to collect demographic information associated with the user(block 960). In the illustrated example, the recruitment controller 270consults the registration data controller 177 to determine whatinformation should be requested from the user. Once the demographicinformation is collected, the recruitment controller 270 transmits thedemographic information to the example registration data controller 177of the central facility 170. The user is then considered a panelist, andmonitoring is enabled. In the illustrated example, the registration datacontroller 177 of the central facility 170 verifies that the demographicinformation is complete and stores an indication that monitoring shouldbe enabled for the user (block 970). In some examples, the recruitmentcoordinator 270 stores a monitoring instruction in the data store 150indicating that monitoring is enabled. Control then terminates, and theexample instrumented application 135 continues to perform a functionunrelated to audience measurement.

FIG. 10 is a flowchart representative of example machine-readableinstructions 1000 that may be executed to implement a monitoring enabled(e.g., instrumented) app such as the example instrumented application135 of FIGS. 1 and/or 2. The example program 1000 of FIG. 10 begins atblock 1005 when the monitoring data controller 240 determines ifmonitoring is enabled (block 1005). In the illustrated example, themonitoring data controller 240 determines whether monitoring is enabledby requesting monitoring instructions from the central facility 170.Monitoring may be enabled when, for example, the user has been selectedto be a panelist and has completed all recruitment requirements (e.g.,agreeing to become a panelist, providing demographic information, etc.).Alternatively, the monitoring data controller 240 may determine whethermonitoring is enabled by checking the data store 150 to see if amonitoring instruction has been stored therein. The example monitoringdata controller 240 may store the monitoring instruction in the datastore 150 after receiving the monitoring instructions from the centralfacility. In some examples, the monitoring instruction is a binaryindicator indicating that media monitoring should be enabled. However,in some other examples, the consent identifier is a user and/or panelistidentifier. In some other examples, the monitoring instruction is a dateuntil which monitoring is to be enabled. Monitoring agreements may belimited in time duration (e.g., three months, one year, etc.). After theexpiration of the monitoring agreement, the monitoring activities aredisabled. In some examples, a new monitoring offer may be presented tothe user. However, in some examples, the user may not be requested tocontinue with a new monitoring agreement (e.g., a forced turn-over). Aforced turn-over may be used to, for example, remove users who did notroutinely use the instrumented application, reduce financial obligationsof incentives promised to users, etc.

If monitoring is not enabled (block 1005), the process 1000 terminates,as the user is not a panelist and/or has not given their consent to bemonitored. If monitoring is enabled (block 1005), the media monitor 220waits until a media event is detected. Media events may be triggeredwhen, for example, the media presenter 210 begins playing a video, themedia presenter 210 displays an image (e.g., an advertisement), theinstrumented application 135 is restarted, etc. If a media event is notdetected (block 1010), the media monitor 220 continues to wait for amedia event.

While in the illustrated example monitoring does not occur unlesspermission and/or consent is given, in some examples, monitoring mayoccur regardless of whether permission and/or consent is given. However,the collected monitoring information is not transmitted to the centralfacility 170. That is, the monitoring functionality of the instrumentedapplication 135 may operate, but not transmit collected monitoring dataunless consent is received and/or not transmit collected monitoring datauntil the user has agreed to become a panelist. Once consent is received(e.g., by detection of a monitoring instruction), the monitoring datacontroller 240 may transmit the previously collected monitoringinformation to the central facility 170 (as well as future monitoringinformation). In other words, the monitoring instruction may beretroactive in that it authorizes previous monitoring activity.

If a media event is detected (block 1010), the media monitor 220determines a media identifier associated with media presented by theinstrumented application 135 (block 1015). In the illustrated example,the media monitor 220 extracts media-identifying metadata from an ID3tag transmitted in association with the presented media (see, forexample, U.S. patent application Ser. No. 13/341,646, U.S. patentapplication Ser. No. 13/341,661, U.S. patent application Ser. No.13/443,596, U.S. patent application Ser. No. 13/455,961, U.S. patentapplication Ser. No. 13/472,170, U.S. patent application Ser. No.13/793,991, U.S. patent application Ser. No. 13/793,974, and U.S. patentapplication Ser. No. 13/793,983). In some examples, the media monitor220 determines the media identifier by extracting, decoding, etc. acode, a signature, and/or a watermark embedded in the presented media.

The monitoring data controller 240 of the illustrated example retrievesthe unique identifier from the data store 150 (block 1020). In theillustrated example, the unique identifier is an encrypted panelistidentifier. Encrypting the unique identifier ensures that theapplication 135 does not have access to sensitive user information.

The media monitor 220 then creates a timestamp (block 1025).Timestamping (e.g., recording a time that an event occurred) enablesaccurate identification and/or correlation of media that was presentedand/or the time that it was presented with the user(s) using the mediadevice at that time.

The monitoring data controller 240 of the illustrated example thencreates a record including the media identifier (e.g., the mediaidentifier obtained at block 1015), the unique identifier (of block1020), and the timestamp (of block 1025). In the illustrated example,the record is formatted as a comma separated value (CSV) record.However, any other type(s) and/or format(s) of record may additionallyor alternatively be used. For example, the record may be formatted as anextensible markup language (XML) record.

The example monitoring data controller 240 of the illustrated exampledetermines whether the record should be transmitted to the examplemonitoring data receiver 179 of the central facility 170 (block 1030).In some examples, records are streamed to the central facility 170 asthey are identified and/or created. If the example monitoring datacontroller 240 is to transmit the record to the central facility 170(block 1030), the monitoring data controller 240 transmits the record tothe example monitoring data receiver 179 of the example central facility170 (block 1040). In some examples, records are stored in the data store150 so that they may be transmitted in a single transmission (e.g., asingle HTTP request, a single file transfer protocol (FTP) command,etc.). If the example monitoring data controller 240 is not to transmitthe record to the central facility 170 (block 1030), the record isstored in the data store 150 by the monitoring data controller 240(block 1035).

The monitoring data controller 240 of the illustrated example determineswhether a storage threshold of the data store 150 has been met orexceeded (block 1045). In the illustrated example, the thresholdrepresents an amount of time that records may be stored in the datastore 150 before being transmitted to the central facility 170. Recordsmay be stored for, for example, one hour, one day, one week, one month,etc. However, any other type of threshold may additionally oralternatively be used such as, for example, a storage limit (e.g., 1 kB,64 kB, 1 MB, etc.). If the storage threshold is exceeded, the monitoringdata controller 240 transmits the stored records to the central facility170 (block 440). The media monitor 220 then continues to wait for mediaevents from the media presenter 210 (block 1010). If the storagethreshold is not exceeded, the media monitor 220 continues to wait formedia events from the media presenter 210 (block 1010).

While in the illustrated example, a storage threshold is used todetermine when to transmit monitoring information, any other way ofmaking such a determination may additionally or alternatively be used.For example, monitoring information may be transmitted to the centralfacility 170 at a fixed interval (e.g., 30 minutes, 3 hours, 1 day, 1week, etc.), monitoring information may be transmitted in response to anexternal event (e.g., user pushes a synchronize button, the centralfacility 170 requests updated monitoring information, the instrumentedapplication 135 is started, the instrumented application 135 is exited,etc.).

FIG. 11 is a flowchart representative of example machine-readableinstructions 1100 that may be executed to implement the example centralfacility of FIG. 1. The example program 1100 of FIG. 11 begins at block1110 when the registration data controller 177 receives a request for aunique identifier (block 1110). In the illustrated example, the requestis received via the HTTP interface 175. However, any other interface forreceiving such a request may additionally or alternatively be used. Theexample unique identifier generator 186 then generates a uniqueidentifier (block 1120). In some examples, the generated uniqueidentifier is stored in the data store 176. In the illustrated example,the generated unique identifier is a serial number used to uniquelyidentify the user and/or device. However, in some examples, the uniqueidentifier may be any other identifier such as, for example, a username,an e-mail address, etc. The example registration data controller 177then transmits the unique identifier to the requesting device (block1130).

FIG. 12 is a flowchart representative of example machine-readableinstructions 1200 that may be executed to implement the example centralfacility of FIG. 1. The example program 1200 of FIG. 12 begins at block1210 when the example registration data controller 177 receives a uniqueidentifier and application identifier from the recruitment controller270 (block 1210). In the illustrated example, the request is receivedvia the HTTP interface 175. However, any other interface for receivingsuch a request may additionally or alternatively be used. The exampleregistration data controller 177 then generates a time stamp of when theunique identifier and application identifier pair were received (block1220). The example registration data controller 177 then stores theunique identifier, the application identifier, and the timestamp (block1230). Such storage may be similar to the table 500 of FIG. 5.

FIG. 13 is a flowchart representative of example machine-readableinstructions 1300 that may be executed to implement the example centralfacility of FIG. 1. The example program 1300 of FIG. 13 begins at block1310 when the panel creator 182 selects users to be recruited to becomepanelists. In the illustrated example, the example panel creator 182obtains a number of devices that are eligible for sampling (block 1310).For example, the eligible number of devices may reflect active mediadevices within the master frame (e.g., media devices that have launchedat least one instrumented application, that have not been previouslygiven a chance of selection (e.g., a recruitment interface has not beendisplayed), etc.). In some examples, the number of eligible devices forsampling is limited to those devices that have contacted the audiencemeasurement entity in the past ninety days (e.g., as a result of thelaunch of an instrumented application). From the master frame, the panelcreator 182 determines a sample size of media devices to be selected tobe recruited (block 1315). In some examples, the master frame mayrepresent ten thousand media devices. The panel creator 182 maydetermine the sample size based on, for example, a minimum threshold ofdevices to be sampled to meet statistical requirements for accuratesampling, a maximum threshold of incentives that may be offered, etc. Asdisclosed herein, the number of devices to be selected is referred to asa probability panel. The probability panel is a subset of the masterframe, and corresponds to users and/or devices who have been selected tobe recruited. In examples disclosed herein, the probability panelincludes four thousand and two hundred users. However, any number ofusers may be included in the probability panel.

Next, the example panel creator 182 determines the earliest applicationregistration date for each user and/or device included in the masterframe (block 1325). The example panel creator 182 then determines anumber of applications associated with each user and/or device includedin the master frame (block 1330). The example panel creator 182 thendetermines an application associated with the earliest registration foreach user and/or device included in the master frame (block 1335). Theexample panel creator 182 then assigns a random value to each userand/or device included in the master frame (block 1340). The earliestapplication registration date, the number of applications associatedwith the user and/or device, the application associated with theearliest registration, and the random value are used by the panelcreator 182 to sort the master frame to form a sorted master frame(block 1345).

The panel creator 182 then determines a skip rate (S) to be used whenselecting users and/or devices of the sorted master frame (block 1345).In the illustrated example, the skip rate is equal to the number ofusers and/or devices in the master frame divided by the number of usersand/or devices to be included in the probability panel. In someexamples, the skip rate is rounded down to the nearest hundredth.Accordingly, when the example master frame includes ten thousand usersand/or devices, and the desired probability panel size is four thousandand two hundred users and/or devices, the following skip rate may bedetermined:

$S = {\frac{{DEVICES}_{MasterFrame}}{{DEVICES}_{ProbabilityPanel}} = {\frac{10\text{,}000}{4\text{,}200} = 2.38}}$

Next, the panel creator 182 applies a selection algorithm using the skiprate to users and/or devices within the master frame to be included inthe probability panel. In the illustrated example, the selectionalgorithm includes generating a random number (RN) between zero and theskip rate. The random number is rounded down to the nearest hundredth,and then is sequentially incremented by the skip rate a total of n−1times, accounting for each user to be selected. In selecting the usersand/or devices, the following formula may be used:X _(i)=Integer(RN+S*(i−1)−0.01)+1

Based on the above equation, the panel creator 182 selects each userand/or device “i” to be included in the probability panel from thesorted master frame. If, for example, the example master frame includesten thousand users and/or devices, the desired probability panel size isfour thousand and two hundred users and/or devices, and the randomnumber is determined to be 2.03, the following selection would result:X ₁=Integer(2.03−0.01)+1=3X ₂=Integer(2.03+(2.38*1)−0.01)+1=5X ₃=Integer(2.03+(2.38*2)−0.01)+1=7X ₄=Integer(2.03+(2.38*3)−0.01)+1=10X ₅=Integer(2.03+(2.38*4)−0.01)+1=12. . .X ₄₂₀₀=Integer(2.03+(2.38*4199)−0.01)+1=9996

Accordingly, the first selected user and/or device of the probabilitypanel is the third user and/or device in the sorted master frame, thesecond selected user and/or device of the probability panel is the fifthuser and/or device in the sorted master frame, etc. As such, there is aneven distribution of users and/or devices selected to be in theprobability panel throughout the master frame. While in the illustratedexample the probability panel is created by sorting the master framebased on a number of features, any other way of selecting users and/ordevices (e.g., the probability panel) from a list of users and/ordevices (e.g., the master frame) may additionally or alternatively beused. For example, instead of rounding calculated values down and addingone, calculated values may be rounded up to the nearest integer.Moreover, the master frame may be filtered to include only users and/ordevices who have used a particular instrumented application, may befiltered to include only users and/or devices who have a particular typeof device (e.g., an Apple iPad®), may be filtered to include only usersand/or devices who are located in a particular geographic area, etc.

The example panel creator 182 then determines whether test cells are tobe used (block 1355). Test cells enable multiple recruitment interfacesto be presented to users and/or devices within the probability panel,thereby enabling the monitoring entity to identify effectiveness ofvarious recruitment interfaces. However, in some examples, test cellsmay not be used because, for example, the most effective recruitmentinterface has already been identified. If test cells are to be used, theexample panel creator 182 assigns each of the users and/or devices inthe probability panel to one of a plurality of test cells. To assigneach user and/or device to a test cell, a random value is generatedequal to an integer from one to the number of test cells. Using theselection order from the selection algorithm, the panel creator assignsthe first selected user and/or device to the test cell associated withthe random value. The random value is incremented by one and applied tothe next selected user and/or device. This process is repeated until allselected users and/or devices of the probability panel have beenassigned to a test cell. The example panel creator 182 stores theassignment in the data store 176 in a format similar to, for example,the example table 700 of FIG. 7.

Finally, the panel creator 182 updates the user registration informationto enable recruitment of the selected users and/or devices (block 1365).Accordingly, when the recruitment coordinator 270 of the instrumentedapplication 135 determines whether to display the recruitment interface,the appropriate action can be taken.

FIG. 14 is a flowchart representative of example machine-readableinstructions 1400 that may be executed to implement the example centralfacility of FIG. 1. The example program 1400 of FIG. 14 begins at block1410 when the registration data controller 177 receives a request forrecruitment interface data from the recruitment controller 270 for aparticular user and/or device (block 1410). In the illustrated example,the request is received via the HTTP interface 175. However, any otherinterface for receiving such a request may additionally or alternativelybe used. If the user and/or device is to be recruited, the registrationdata controller 177 determines a test cell associated with the userand/or device based on the unique identifier (block 1420). Based on theidentified test cell, the registration data controller selectsrecruitment interface data (e.g., information about how the recruitmentinterface should be displayed, incentives that should be offered,demographic data that should be requested, etc.) (block 1430). Theregistration data controller 177 then provides the selected recruitmentinterface data to the recruitment controller 270 of the requesting mediadevice 130 (block 1440). The example program 1400 of FIG. 14 thenterminates.

FIG. 15 is a block diagram of an example processor platform 1500 capableof executing the instructions of FIGS. 9, 10, 11, 12, 13, and/or 14 toimplement the central facility 170 of FIG. 1 and/or the exampleinstrumented application 135 of FIGS. 1 and/or 2. The processor platform1500 can be, for example, a server, a personal computer, a mobile device(e.g., a cell phone, a smart phone, a tablet such as an iPad®), apersonal digital assistant (PDA), an Internet appliance, a DVD player, aCD player, a digital video recorder, a Blu-ray player, a gaming console,a personal video recorder, a set top box, or any other type of computingdevice.

The processor platform 1500 of the illustrated example includes aprocessor 1512. The processor 1512 of the illustrated example ishardware. For example, the processor 1512 can be implemented by one ormore integrated circuits, logic circuits, microprocessors or controllersfrom any desired family or manufacturer.

The processor 1512 of the illustrated example includes a local memory1513 (e.g., a cache). The processor 1512 of the illustrated example isin communication with a main memory including a volatile memory 1514 anda non-volatile memory 1516 via a bus 1518. The volatile memory 1514 maybe implemented by Synchronous Dynamic Random Access Memory (SDRAM),Dynamic Random Access Memory (DRAM), RAMBUS Dynamic Random Access Memory(RDRAM) and/or any other type of random access memory device. Thenon-volatile memory 1516 may be implemented by flash memory and/or anyother desired type of memory device. Access to the main memory 1514,1516 is controlled by a memory controller.

The processor platform 1500 of the illustrated example also includes aninterface circuit 1520. The interface circuit 1520 may be implemented byany type of interface standard, such as an Ethernet interface, auniversal serial bus (USB), and/or a PCI express interface.

In the illustrated example, one or more input devices 1522 are connectedto the interface circuit 1520. The input device(s) 1522 permit(s) a userto enter data and commands into the processor 1512. The input device(s)can be implemented by, for example, an audio sensor, a microphone, acamera (still or video), a keyboard, a button, a mouse, a touchscreen, atrack-pad, a trackball, isopoint and/or a voice recognition system.

One or more output devices 1524 are also connected to the interfacecircuit 1520 of the illustrated example. The output devices 1524 can beimplemented, for example, by display devices (e.g., a light emittingdiode (LED), an organic light emitting diode (OLED), a liquid crystaldisplay, a cathode ray tube display (CRT), a touchscreen, a tactileoutput device, a light emitting diode (LED), a printer and/or speakers).The interface circuit 1520 of the illustrated example, thus, typicallyincludes a graphics driver card, a graphics driver chip or a graphicsdriver processor.

The interface circuit 1520 of the illustrated example also includes acommunication device such as a transmitter, a receiver, a transceiver, amodem and/or network interface card to facilitate exchange of data withexternal machines (e.g., computing devices of any kind) via a network1526 (e.g., an Ethernet connection, a digital subscriber line (DSL), atelephone line, coaxial cable, a cellular telephone system, etc.).

The processor platform 1500 of the illustrated example also includes oneor more mass storage devices 1528 for storing software and/or data.Examples of such mass storage devices 1528 include floppy disk drives,hard drive disks, compact disk drives, Blu-ray disk drives, RAIDsystems, and digital versatile disk (DVD) drives.

The coded instructions 1532 of FIGS. 9, 10, 11, 12, 13, and/or 14 may bestored in the mass storage device 1528, in the volatile memory 1514, inthe non-volatile memory 1516, and/or on a removable tangible computerreadable storage medium such as a CD or DVD.

From the foregoing, it will be appreciated that methods, apparatus andarticles of manufacture have been disclosed to enable a monitoringentity to assemble a master frame including all media devices that havelaunched at least one instrumented application, and to understand whichinstrumented application(s) are on each media device. From the masterframe, a probability panel can be created and selected users may berequested to join a media monitoring panel.

Although certain example methods, apparatus and articles of manufacturehave been disclosed herein, the scope of coverage of this patent is notlimited thereto. On the contrary, this patent covers all methods,apparatus and articles of manufacture fairly falling within the scope ofthe claims of this patent.

What is claimed is:
 1. A non-transitory machine readable mediumcomprising instructions which, when executed, cause a machine to atleast: instruct a media provider to instrument an application withmonitoring instructions; receive a unique identifier and an applicationidentifier from a media device executing the instrumented application,the unique identifier and the application identifier received withoutcollecting any personally identifiable information; create a masterframe corresponding to media devices that have executed the instrumentedapplication; determine a skip rate representing a rate at which mediadevices in the master frame are to be selected to join a panel; assignthe media device from the master frame into a first test cell based on arandom value and the skip rate; select a first recruitment interfaceassociated with the first test cell, the first recruitment interfacedifferent from a second recruitment interface associated with a secondtest cell; and instruct the instrumented application to, in response tothe instrumented application being executed for a first time after athreshold period of time since an initial execution of the instrumentedapplication has elapsed, display the first recruitment interface to auser associated with the selected media device requesting the user tojoin the panel.
 2. The non-transitory machine readable medium of claim1, wherein the instructions, when executed, further cause the machine toreceive monitoring data from the instrumented application after the userhas agreed to become a panelist.
 3. The non-transitory machine readablemedium of claim 1, wherein the instructions, when executed, furthercause the machine to generate the unique identifier to be used by themedia device.
 4. The non-transitory machine readable medium of claim 3,wherein the instructions, when executed, further cause the machine totransmit the unique identifier to the media device.
 5. Thenon-transitory machine readable medium of claim 1, wherein theapplication identifier is assigned to the instrumented application by atleast one of the media provider or an application developer.
 6. Thenon-transitory machine readable medium of claim 1, wherein the randomvalue is less than or equal to the skip rate and greater than or equalto zero.
 7. The non-transitory machine readable medium of claim 1,wherein the skip rate is based on a count of media devices in the masterframe divided by a desired number of media devices for the panel.
 8. Thenon-transitory machine readable medium of claim 1, wherein theinstructions, when executed, further cause the machine to sort themaster frame prior to selecting the media device from the master frame.9. The non-transitory machine readable medium of claim 8, wherein thesorting of the master frame is based on a number of applicationsassociated with respective media devices in the master frame.
 10. Thenon-transitory machine readable medium of claim 8, wherein the sortingof the master frame is based on application identifiers respectivelyassociated with respective media devices in the master frame.
 11. Amethod to create a panel of media device users, the method comprising:instructing, from a central facility, a media provider to instrument anapplication with monitoring instructions; receiving a unique identifierand an application identifier from a media device executing theinstrumented application, the unique identifier and the applicationidentifier received without collecting any personally identifiableinformation; creating a master frame corresponding to media devices thathave executed the instrumented application; determining a skip raterepresenting a rate at which media devices in the master frame are to beselected to join the panel; assigning, at the central facility, themedia device from the master frame into a first test cell based on arandom value and the skip rate; selecting a first recruitment interfaceassociated with the first test cell, the first recruitment interfacedifferent from a second recruitment interface associated with a secondtest cell; instructing the instrumented application to, in response tothe instrumented application being executed for a first time after athreshold period of time since an initial execution of the instrumentedapplication has elapsed, display the first recruitment interface to auser associated with the selected media device requesting the user tojoin the panel.
 12. The method of claim 11, further including receivingmonitoring data from the instrumented application after the user hasagreed to become a panelist.
 13. The method of claim 11, furtherincluding generating the unique identifier to be used by the mediadevice.
 14. The method of claim 13, further including transmitting theunique identifier to the media device.
 15. The method of claim 11,wherein the application identifier is assigned to the instrumentedapplication by at least one of the media provider or an applicationdeveloper.
 16. The method of claim 11, wherein the random value is lessthan or equal to the skip rate and greater than or equal to zero. 17.The method of claim 11, wherein the skip rate is based on a count ofmedia devices in the master frame divided by a desired number of mediadevices for the panel.
 18. The method of claim 11, further includingsorting the master frame prior to selecting the media device from themaster frame.
 19. The method of claim 18, wherein the sorting of themaster frame is based on a number of applications associated withrespective media devices in the master frame.
 20. The method of claim18, wherein the sorting of the master frame is based on applicationidentifiers respectively associated with respective media devices in themaster frame.